This degree responds directly to the growing demand across research fields and by employers in society for a new generation of postgraduates who can critically engage with big data theoretically, methodologically and practically. In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.Our course offers you:Core knowledge in statistical modelling and programming for data-driven careersAn extensive understanding of the relationship between big data technology and societyPractical and critical application of these techniques to cutting-edge methods across the data spectrumR programming skills (using RStudio)Statistics in Social Science (up to multiple linear regression and logistic regression)Advanced Statistics (generalised linear models, multilevel modelling and casual inference)Basics in Social Network Analysis, Web Scraping, Reproducible Analysis, Data Visualisation, SQL, Deep Learning, Agent-Based Modelling (From Q-Step Masterclasses)Writing and communication skills for analysis/discussing technical contentCritical academic research skills with an interdisciplinary focus